mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
21 lines
739 B
Markdown
21 lines
739 B
Markdown
# Workflows
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## Workflow 1: Linux CIS Hardening Deployment
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```
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[Select CIS Benchmark for distro/version] → [Choose L1 or L2 profile]
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→ [Run OpenSCAP baseline assessment] → [Review initial compliance score]
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→ [Apply remediations (Ansible/manual)] → [Re-assess with OpenSCAP]
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→ [Document exceptions] → [Deploy to production fleet]
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→ [Schedule quarterly reassessment]
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```
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## Workflow 2: Automated Remediation with Ansible
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```
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[Clone Ansible Lockdown role for target distro]
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→ [Configure variables (skip list, exceptions)]
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→ [Test against staging servers]
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→ [Review changes and application compatibility]
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→ [Deploy to production in rolling batches]
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→ [Run OpenSCAP validation after each batch]
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```
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